The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,255 +4.599x, - 4.612x,, where x, is the number of acres planted and x, is the number of acres harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x, = 35,300, x, = 35,700 (b) x, 37,000, x, = 37,300 (c) x, = 38,100, X2 = 38,200 (d) x, = 41,300, x2 = 41,400 (a) The predicted yield is pounds per acre. (Round to one decimal place as needed.) Enter your answer in the answer box and then click Check Answer. Clear All Check Answer parts remaining mathematic

The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,255 +4.599x, - 4.612x,, where x, is the number of acres planted and x, is the number of acres harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x, = 35,300, x, = 35,700 (b) x, 37,000, x, = 37,300 (c) x, = 38,100, X2 = 38,200 (d) x, = 41,300, x2 = 41,400 (a) The predicted yield is pounds per acre. (Round to one decimal place as needed.) Enter your answer in the answer box and then click Check Answer. Clear All Check Answer parts remaining mathematic

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Description: Answer from a-d The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,255 + 4.599x, -4.612x,, where x, is the number of acres planted and x2 is thenumber of acres harvested. Use the multiple regression equation to predi

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The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,255 + 4.599x, -4.612x,, where x, is the number of acres planted and x2 is the
number of acres harvested. Use the multiple regression equation to predict the y-values for the values of the independent variables.
(a) x, = 35,300, x, = 35,700
(b) x, = 37,000, x, = 37,300
(c) x, = 38,100, x2 = 38,200
(d) x, = 41,300, X, = 41,400
(a) The predicted yield is pounds per acre.
(Round to one decimal place as needed.)
Enter your answer in the answer box and then click Check Answer.
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